Type 2 diabetes mellitus (T2DM) often results in high morbidity and mortality. In addition, T2DM presents a substantial financial burden for individuals and their families, health systems, and societies. According to studies and reports, globally, …
In this paper, we demonstrate the development and validation of the 10-years type 2 diabetes mellitus (T2DM) risk prediction models based on large survey data. The Survey of Health, Ageing and Retirement in Europe (SHARE) data collected in 12 …
There is a need of ensuring machine learning models that are interpretable. Higher interpretability of the model means easier comprehension and explanation of future predictions for end-users. Further, interpretable machine learning models allow …
Improving interpretability and performance of risk prediction models for decision support in clinical environments
Main host institution: KU Leuven
Supervisor: Katrien Verbert (Informatics Section, KU Leuven)
Foreign host institution: University of Maribor
There is a need of ensuring machine learning models that are interpretable. Higher interpretability of the model means easier comprehension and explanation of future predictions for end-users. Further, interpretable machine learning models allow …